To become a data scientist or data analyst, you will at least require a bachelor’s degree in a field such as mathematics, statistics, or computer science, though several analysts may have a bachelor’s in business with a focus on analytics.
Role Responsibilities Differences Between Data Analysts and Data Scientists
Since both data analyst and data scientist are deceptively similar job titles let’s take a look at the job responsibilities associated with each of them:
Data Analyst:
Data querying utilizing SQL
Data evaluation and forecasting using Excel
Creating dashboards utilizing business intelligence software
Performing different type of analytics including diagnostic analytics, descriptive analytics, and predictive analytics
Data Scientists:
Data mining utilizing APIs or developing ETL pipelines
Data cleaning utilizing programming languages like Python or R
Statistical analysis using ML algorithms like NLP, logistic regression, Random Forest, or gradient boosting
Creating programming and automation techniques, like libraries, that simplify the daily processes and for the other members of their organisation
Different Languages Courses In Data Science Program
Data science
▪ Python
▪ Deep learning
▪ Machine learning
▪ Applied data science with R
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